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Should We Learn Probabilistic Models for Model Checking? A New Approach and An Empirical Study
Wang, Jingyi; Sun, Jun; Yuan, Qixia et al.
2017In Proceedings of 20th International Conference on Fundamental Approaches to Software Engineering
Peer reviewed
 

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Disciplines :
Computer science
Author, co-author :
Wang, Jingyi
Sun, Jun
Yuan, Qixia ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Pang, Jun  ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
English
Title :
Should We Learn Probabilistic Models for Model Checking? A New Approach and An Empirical Study
Publication date :
2017
Event name :
20th International Conference on Fundamental Approaches to Software Engineering
Event date :
2017
Audience :
International
Main work title :
Proceedings of 20th International Conference on Fundamental Approaches to Software Engineering
Publisher :
Springer
Collection name :
Lecture Notes in Computer Science 10202
Pages :
3-21
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
Available on ORBilu :
since 25 March 2017

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